CVE-2026-24233: CWE-502 Deserialization of Untrusted Data in NVIDIA TensorRT-LLM
NVIDIA TensorRT-LLM for Linux has a deserialization vulnerability in its restricted unpickler used for model weight deserialization. A local, unauthenticated attacker could exploit this to deserialize untrusted data, potentially leading to code execution, privilege escalation, data tampering, and information disclosure. The vulnerability is tracked as CVE-2026-24233 with a high severity score of 8.4. No official patch or remediation guidance is currently available from the vendor. The affected version is 0.0.
AI Analysis
Technical Summary
CVE-2026-24233 is a deserialization of untrusted data vulnerability (CWE-502) in NVIDIA TensorRT-LLM for Linux. The issue exists in the restricted unpickler component responsible for deserializing model weights. An attacker with local access and no authentication can exploit this flaw to cause deserialization of malicious data, which may result in arbitrary code execution, escalation of privileges, tampering with data, and disclosure of sensitive information. The CVSS v3.1 base score is 8.4, indicating high severity. The affected version is explicitly 0.0. There is no vendor-provided patch or official remediation information available at this time.
Potential Impact
Successful exploitation allows a local, unauthenticated attacker to execute arbitrary code, escalate privileges, tamper with data, and disclose sensitive information on the affected system running NVIDIA TensorRT-LLM version 0.0. This could compromise system integrity and confidentiality.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict local access to trusted users only and monitor for any suspicious activity related to TensorRT-LLM usage. Avoid loading untrusted model weights to reduce risk.
CVE-2026-24233: CWE-502 Deserialization of Untrusted Data in NVIDIA TensorRT-LLM
Description
NVIDIA TensorRT-LLM for Linux has a deserialization vulnerability in its restricted unpickler used for model weight deserialization. A local, unauthenticated attacker could exploit this to deserialize untrusted data, potentially leading to code execution, privilege escalation, data tampering, and information disclosure. The vulnerability is tracked as CVE-2026-24233 with a high severity score of 8.4. No official patch or remediation guidance is currently available from the vendor. The affected version is 0.0.
CVSS v3.1
Score 8.4high
Affected software
pkg:github/nvidia/TensorRT-LLMRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-24233 is a deserialization of untrusted data vulnerability (CWE-502) in NVIDIA TensorRT-LLM for Linux. The issue exists in the restricted unpickler component responsible for deserializing model weights. An attacker with local access and no authentication can exploit this flaw to cause deserialization of malicious data, which may result in arbitrary code execution, escalation of privileges, tampering with data, and disclosure of sensitive information. The CVSS v3.1 base score is 8.4, indicating high severity. The affected version is explicitly 0.0. There is no vendor-provided patch or official remediation information available at this time.
Potential Impact
Successful exploitation allows a local, unauthenticated attacker to execute arbitrary code, escalate privileges, tamper with data, and disclose sensitive information on the affected system running NVIDIA TensorRT-LLM version 0.0. This could compromise system integrity and confidentiality.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, restrict local access to trusted users only and monitor for any suspicious activity related to TensorRT-LLM usage. Avoid loading untrusted model weights to reduce risk.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- nvidia
- Date Reserved
- 2026-01-21T19:09:37.972Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a569d1c68715ace432809cf
Added to database: 07/14/2026, 20:33:32 UTC
Last enriched: 07/14/2026, 21:19:04 UTC
Last updated: 07/14/2026, 21:47:41 UTC
Views: 2
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